EVAPORATION-CONDENSATION AND SNOWMELT MEASUREMENTS IN FINLAND

Measurements on evaporation and the melting of snow cover are presented, followed by an explanation of how the measured values depend on meteorological factors and the structure of the snow. The observations were made during the period 1968–1973 on an experimental field situated in southern Finland. The regression analysis of the evaporation gave no motive for the use of a non-linear wind function. A theoretical model based on the energy balance has been sought with the aim of explaining snowmelt. However, a simple model containing certain basic parameters gave better results.

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Brief communication: Growth and decay of an Ice Stupa in alpine conditions: a simple model driven by energy-flux observations over a glacier surface

10.5194/tc-2021-54 ◽

2021 ◽

Author(s):

Johannes Oerlemans ◽

Suryanarayanan Balasubramanian ◽

Conradin Clavuot ◽

Felix Keller

Keyword(s):

Energy Balance ◽

Simple Model ◽

Snow Cover ◽

Rough Surface ◽

Early Spring ◽

Glacier Surface ◽

Temperature Changes ◽

Model Driven ◽

Simple Tool ◽

Exposure Factor

Abstract. We present a simple tool to calculate the evolution of an ice stupa (artificial ice reservoir). The model is formulated for a cone geometry and driven by energy balance measurements over a glacier surface for a 5-year period. An “exposure factor” is introduced to deal with the fact that an ice stupa has a very rough surface and is more exposed to wind than a flat glacier surface. The exposure factor enhances the turbulent fluxes.For characteristic alpine conditions at 2100 m, a stupa may reach a height of typically 6 to 10 m in early spring and obtain a volume of 100 to 250 m3 . We also discuss a case where the stupa grows on an inner structure.We show sensitivites of stupa height to temperature changes and exposure factor. Effects of snow cover, switching off water during daytime, different starting dates, etc. can easily be evaluated.

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A kinetic model based on non-linear regression analysis is proposed for the degradation of phenol under UV/solar light using nitrogen doped TiO2

Journal of Molecular Catalysis A Chemical ◽

10.1016/j.molcata.2010.10.025 ◽

2011 ◽

Vol 334 (1-2) ◽

pp. 65-76 ◽

Cited By ~ 34

Author(s):

L. Gomathi Devi ◽

K. Eraiah Rajashekhar

Keyword(s):

Regression Analysis ◽

Kinetic Model ◽

Linear Regression ◽

Linear Regression Analysis ◽

Solar Light ◽

Doped Tio2 ◽

Nitrogen Doped ◽

Model Based ◽

Non Linear

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Brief communication: Growth and decay of an ice stupa in alpine conditions – a simple model driven by energy-flux observations over a glacier surface

The Cryosphere ◽

10.5194/tc-15-3007-2021 ◽

2021 ◽

Vol 15 (6) ◽

pp. 3007-3012

Author(s):

Johannes Oerlemans ◽

Suryanarayanan Balasubramanian ◽

Conradin Clavuot ◽

Felix Keller

Keyword(s):

Energy Balance ◽

Simple Model ◽

Snow Cover ◽

Educational Tool ◽

High Wind ◽

Glacier Surface ◽

Temperature Changes ◽

Model Driven ◽

Wind Speeds ◽

Exposure Factor

Abstract. We present a simple model to calculate the evolution of an ice stupa (artificial ice reservoir). The model is formulated for a cone geometry and driven by energy balance measurements over a glacier surface for a 5-year period. An “exposure factor” is introduced to deal with the fact that an ice stupa has a very rough surface and is more exposed to wind than a flat glacier surface. The exposure factor enhances the turbulent fluxes. For characteristic alpine conditions at 2100 m, an ice stupa may reach a volume of 200 to 400 m3 in early April. We show sensitivities of ice stupa size to temperature changes and exposure factor. The model may also serve as an educational tool, with which the effects of snow cover, switching off water during daytime, different starting dates, switching off water during high wind speeds, etc. can easily be evaluated.

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A Simple Model-Based Function for Description of Non-Linear Bioactivity-Hydrophobicity Profiles

Quantitative Structure-Activity Relationships ◽

10.1002/qsar.19920110108 ◽

1992 ◽

Vol 11 (1) ◽

pp. 45-49 ◽

Cited By ~ 2

Author(s):

SÌŒTefan BalÃ¡zÌŒ ◽

Michael Wiese ◽

Joachim K. Seydel

Keyword(s):

Simple Model ◽

Model Based ◽

Non Linear

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Solow economy model

Problems of Innovation and Investment Development ◽

10.33813/2224-1213.21.2019.15 ◽

2019 ◽

pp. 150-157

Author(s):

Oleksandr Synenko ◽

Kateryna Yarema ◽

Yuliia Bezsmertna

Keyword(s):

Economic Growth ◽

Regression Analysis ◽

Solow Model ◽

Economy Model ◽

Accelerated Depreciation ◽

Basic Parameters ◽

The Subject ◽

Investment Process ◽

The Impact ◽

Model Algorithm

The subject of the research is the approach to the possibility of using the Solow model to perform the regression analysis on the example of the Ukrainian economy model. The purpose of writing this article is to investigate the notion of regres- sion analysis, Solow’s economy model, algorithm for performing regression analy- sis on the example of Ukraine’s economy model. This model can be adapted for the economy of enterprises. Methodology. The research methodology is system-struc- tural and comparative analyzes (to study the structure of GDP); monograph (when studying methods of regression analysis on the example of the Ukrainian economy); economic analysis (when assessing the impact of factors on Ukraine’s GDP). The scientific novelty consists the features of the use of the Solow model on the ex- ample of Ukrainian economy are determined. An algorithm for calculating the basic parameters of a model using the Excel application package is disclosed. The main recommendations on the development of the national economy and economic growth through the use of macroeconomic instruments are given. Conclusions. The use of the Solow model enables forecasting and analysis. The results obtained re- vealed the problem of low resource return of capital as a resource, along with the means of macroeconomic regulation of the investment process, using which can improve the situation. A special place in these funds belongs to the accelerated depreciation and interest rate policies.

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